| 2008 |
|---|
| 46 | EE | Bertha Guijarro-Berdiñas,
Oscar Fontenla-Romero,
Beatriz Pérez-Sánchez,
Amparo Alonso-Betanzos:
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis.
ESANN 2008: 289-294 |
| 45 | EE | David Martínez-Rego,
Oscar Fontenla-Romero,
Amparo Alonso-Betanzos:
A Method for Time Series Prediction using a Combination of Linear Models.
ESANN 2008: 295-300 |
| 2007 |
|---|
| 44 | EE | Noelia Sánchez-Maroño,
Amparo Alonso-Betanzos:
Feature Selection Based on Sensitivity Analysis.
CAEPIA 2007: 239-248 |
| 43 | EE | Amparo Alonso-Betanzos,
Noelia Sánchez-Maroño,
Félix M. Carballal-Fortes,
Juan A. Suárez-Romero,
Beatriz Pérez-Sánchez:
Classification of computer intrusions using functional networks. A comparative study.
ESANN 2007: 579-584 |
| 42 | EE | Noelia Sánchez-Maroño,
Amparo Alonso-Betanzos,
Beatriz Pérez-Sánchez:
An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition.
ICANN (2) 2007: 240-249 |
| 41 | EE | Yuridia Gago-Pallares,
Oscar Fontenla-Romero,
Amparo Alonso-Betanzos:
A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks.
IDEAL 2007: 168-177 |
| 40 | EE | Noelia Sánchez-Maroño,
Amparo Alonso-Betanzos,
María Tombilla-Sanromán:
Filter Methods for Feature Selection - A Comparative Study.
IDEAL 2007: 178-187 |
| 39 | EE | Eduardo Mosqueira-Rey,
Amparo Alonso-Betanzos,
Belén Baldonedo del Río,
Jesús Lago Piñeiro:
A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture.
KES-AMSTA 2007: 466-475 |
| 38 | EE | Enrique Castillo,
Noelia Sánchez-Maroño,
Amparo Alonso-Betanzos,
Carmen Castillo:
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition.
Neural Computation 19(1): 231-257 (2007) |
| 2006 |
|---|
| 37 | EE | Juan A. Suárez-Romero,
Amparo Alonso-Betanzos,
Bertha Guijarro-Berdiñas:
An Add-On for Managing Behaviours with Priority in JADE.
IAT 2006: 713-716 |
| 36 | EE | Noelia Sánchez-Maroño,
María Caamaño-Fernández,
Enrique Castillo,
Amparo Alonso-Betanzos:
Functional Networks and Analysis of Variance for Feature Selection.
IDEAL 2006: 1031-1038 |
| 35 | EE | Sabela Platero-Santos,
Oscar Fontenla-Romero,
Amparo Alonso-Betanzos:
A Fast Classification Algorithm Based on Local Models.
IDEAL 2006: 249-256 |
| 34 | EE | Enrique Castillo,
Bertha Guijarro-Berdiñas,
Oscar Fontenla-Romero,
Amparo Alonso-Betanzos:
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis.
Journal of Machine Learning Research 7: 1159-1182 (2006) |
| 2005 |
|---|
| 33 | EE | Noelia Sánchez-Maroño,
Amparo Alonso-Betanzos,
Enrique Castillo:
a new wrapper method for feature subset selection.
ESANN 2005: 515-520 |
| 32 | EE | Juan A. Suárez-Romero,
Amparo Alonso-Betanzos,
Bertha Guijarro-Berdiñas,
C. Duran-Sanles:
A tool for agent communication in Mozart/Oz.
IAT 2005: 706-710 |
| 31 | EE | Noelia Sánchez-Maroño,
Oscar Fontenla-Romero,
Enrique Castillo,
Amparo Alonso-Betanzos:
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction.
ICANN (2) 2005: 949-954 |
| 30 | EE | Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos,
Vicente Moret-Bonillo:
A new method for sleep apnea classification using wavelets and feedforward neural networks.
Artificial Intelligence in Medicine 34(1): 65-76 (2005) |
| 2004 |
|---|
| 29 | EE | Amparo Alonso-Betanzos,
Enrique Castillo,
Oscar Fontenla-Romero,
Noelia Sánchez-Maroño:
Shear strength prediction using dimensional analysis and functional networks.
ESANN 2004: 251-256 |
| 28 | EE | Oscar Fontenla-Romero,
Enrique Castillo,
Amparo Alonso-Betanzos,
Bertha Guijarro-Berdiñas:
A measure of fault tolerance for functional networks.
Neurocomputing 62: 327-347 (2004) |
| 2003 |
|---|
| 27 | EE | Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos,
Ana del Rocío Fraga-Iglesias,
Vicente Moret-Bonillo:
A Bayesian Neural Network Approach for Sleep Apnea Classification.
AIME 2003: 284-293 |
| 26 | EE | Oscar Fontenla-Romero,
Deniz Erdogmus,
José Carlos Príncipe,
Amparo Alonso-Betanzos,
Enrique Castillo:
Accelerating the convergence speed of neural networks learning methods using least squares.
ESANN 2003: 255-260 |
| 25 | EE | Noelia Sánchez-Maroño,
Oscar Fontenla-Romero,
Amparo Alonso-Betanzos,
Bertha Guijarro-Berdiñas:
Self-organizing maps and functional networks for local dynamic modeling.
ESANN 2003: 39-44 |
| 24 | EE | Deniz Erdogmus,
Yadunandana N. Rao,
José Carlos Príncipe,
Oscar Fontenla-Romero,
Amparo Alonso-Betanzos:
Recursive Least Squares for an Entropy Regularized MSE Cost Function.
ESANN 2003: 451-456 |
| 23 | EE | Oscar Fontenla-Romero,
Deniz Erdogmus,
José Carlos Príncipe,
Amparo Alonso-Betanzos,
Enrique Castillo:
Linear Least-Squares Based Methods for Neural Networks Learning.
ICANN 2003: 84-91 |
| 22 | EE | Juan A. Suárez-Romero,
Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos:
A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function.
IWANN (1) 2003: 270-277 |
| 21 | EE | Enrique Castillo,
Noelia Sánchez-Maroño,
Amparo Alonso-Betanzos,
Carmen Castillo:
Recovering Missing Data with Functional and Bayesian Networks.
IWANN (2) 2003: 489-496 |
| 20 | EE | Amparo Alonso-Betanzos,
Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Elena Hernández-Pereira,
Maria Inmaculada Paz-Andrade,
Eulogio Jimenez,
Jose Luis Legido,
Tarsy Carballas:
An intelligent system for forest fire risk prediction and fire fighting management in Galicia.
Expert Syst. Appl. 25(4): 545-554 (2003) |
| 2002 |
|---|
| 19 | | Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos:
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms.
Advances in Computational Intelligence and Learning 2002: 489-500 |
| 18 | | Amparo Alonso-Betanzos,
Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Elena Hernández-Pereira,
Juan Canda,
Eulogio Jimenez,
Jose Luis Legido,
Susana Muñiz,
Cristina Paz-Andrade,
Maria Inmaculada Paz-Andrade:
A Neural Network Approach for Forestal Fire Risk Estimation.
ECAI 2002: 643-647 |
| 17 | EE | Oscar Fontenla-Romero,
Amparo Alonso-Betanzos,
Enrique Castillo,
José Carlos Príncipe,
Bertha Guijarro-Berdiñas:
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks.
ICANN 2002: 945-950 |
| 16 | EE | Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos,
Oscar Fontenla-Romero:
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system.
Artif. Intell. 136(1): 1-27 (2002) |
| 15 | | Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos:
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness.
Artificial Intelligence in Medicine 24(1): 71-96 (2002) |
| 14 | EE | Enrique Castillo,
Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos:
A Global Optimum Approach for One-Layer Neural Networks.
Neural Computation 14(6): 1429-1449 (2002) |
| 2001 |
|---|
| 13 | EE | Enrique Castillo,
Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos:
A Measure of Noise Immunity for Functional Networks.
IWANN (1) 2001: 293-300 |
| 12 | EE | Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos:
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis.
IWANN (1) 2001: 301-307 |
| 11 | EE | Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos,
Oscar Fontenla-Romero,
Olga Garcia-Dans,
Noelia Sánchez-Maroño:
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns.
IWANN (2) 2001: 393-400 |
| 2000 |
|---|
| 10 | EE | Amparo Alonso-Betanzos,
Bernardino Arcay Varela,
Alfonso Castro Martínez:
Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images.
Image Vision Comput. 18(13): 1045-1054 (2000) |
| 1999 |
|---|
| 9 | | Bernardino Arcay Varela,
Amparo Alonso-Betanzos,
Alfonso Castro Martínez,
Concepsión Seijo García,
Jesús Suarez Bustillo:
Prepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity.
IWANN (2) 1999: 452-459 |
| 8 | | Amparo Alonso-Betanzos,
Eduardo Mosqueira-Rey,
Vicente Moret-Bonillo,
Belén Baldonedo del Río:
Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study.
Artificial Intelligence in Medicine 17(1): 37-57 (1999) |
| 1998 |
|---|
| 7 | | Amparo Alonso-Betanzos,
Oscar Fontenla-Romero,
Bertha Guijarro-Berdiñas,
Olga Fernández-Chaves,
José Carlos Príncipe:
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks.
NC 1998: 358-364 |
| 6 | | Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos,
Olga Fernández-Chaves,
Miguel Álvarez-Soane,
Francisco Ucieda-Pardiñas:
A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project.
NC 1998: 827-833 |
| 1997 |
|---|
| 5 | | Bertha Guijarro-Berdiñas,
Amparo Alonso-Betanzos,
Soledad Prados-Méndez,
Olga Fernández-Chaves,
Miguel Álvarez-Soane,
Francisco Ucieda-Pardiñas:
A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing.
IWANN 1997: 628-633 |
| 4 | | Amparo Alonso-Betanzos,
Eduardo Mosqueira-Rey,
Belén Baldonedo del Río:
A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques.
IWANN 1997: 995-1004 |
| 3 | | Vicente Moret-Bonillo,
Eduardo Mosqueira-Rey,
Amparo Alonso-Betanzos:
Information analysis and validation of intelligent monitoring systems in intensive care units.
IEEE Transactions on Information Technology in Biomedicine 1(2): 87-99 (1997) |
| 1995 |
|---|
| 2 | | Amparo Alonso-Betanzos,
Bertha Guijarro-Berdiñas,
Vicente Moret-Bonillo,
S. Lopez-Gonzalez:
The NST-EXPERT project: the need to evolve.
Artificial Intelligence in Medicine 7(4): 297-313 (1995) |
| 1990 |
|---|
| 1 | EE | Vicente Moret-Bonillo,
Amparo Alonso-Betanzos,
John R. Searle:
Towards the implementation of intelligent structures in intensive care monitoring: the advantages of the symbolic pre-processing.
ACM Southeast Regional Conference 1990: 206 |
